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Hi, I have two data set of normalized Affymetrix CEL files, wild type vs Control type.(each set have further three replicates). > wild.fish AffyBatch object size of arrays=712x712 features (10 kb) cdf=Zebrafish (15617 affyids) number of samples=3 number of genes=15617 annotation=zebrafish notes= > Dicer.fish AffyBatch object size of arrays=712x712 features (10 kb) cdf=Zebrafish (15617 affyids) number of samples=3 number of genes=15617 annotation=zebrafish notes= Now, I have to combine these two S4 obj...

...SCHIP.DB ARABIDOPSISCHIP.DB ECOLICHIP.DB MOUSE.DB XENOPUS.DB ARABIDOPSIS.DB ECOLI.DB ORGANISM.DB YEASTCHIP.DB BASEPKG.DB FLYCHIP.DB PFAM.DB YEAST.DB BOVINECHIP.DB FLY.DB PIGCHIP.DB YEASTNCBI.DB BOVINE.DB GO.DB PIG.DB ZEBRAFISHCHIP.DB CANINECHIP.DB HUMANCHIP.DB RATCHIP.DB ZEBRAFISH.DB CANINE.DB HUMAN.DB RAT.DB CHICKENCHIP.DB INPARANOID.DB RHESUS.DB CHICKEN.DB KEGG.DB WORMCHIP.DB Those package templates are just the skeletons of the hundreds of annotation packages that we g...

Greetings ~ I need some assistance determining an appropriate approach to analyzing multivariate binary response data, and how to do it in R. The setting: Data from an assay, wherein 6-hours-post-fertilization zebrafish embryos (n=20, say) are exposed in a vial to a chemical (replicated 3 times, say), and 5 days later observed for the presence/absence (1/0) of defects in several organ systems (yolk sac, jaw, snout, body axis, pericardial edema, etc.) for each fish. The assay can be used as a screen (in which case...